MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
eWeek

MIT Just Solved AI’s Memory Problem (And It’s Brilliantly Simple)

MIT’s Recursive Language Models rethink AI memory by treating documents like searchable environments, enabling models to ...

Understanding Macroeconomics: GDP, Inflation, and Unemployment Explained

Discover how macroeconomics impacts GDP, inflation, and unemployment, and learn how policy decisions shape economic stability ...
Hackaday

Optimizing Software With Zero-Copy And Other Techniques

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...
Nature

Computer science articles from across Nature Portfolio

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...